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2010 – 2019
- 2018
[j9]Yasunori Endo, Yukihiro Hamasuna, Tsubasa Hirano, Naohiko Kinoshita:
Even-Sized Clustering Based on Optimization and its Variants. J. Adv. Comput. Intell. Intell. Informatics 22(1): 62-69 (2018)- 2017
- [c14]Yasunori Endo, Naohiko Kinoshita:
Various Types of Objective-Based Rough Clustering. Fuzzy Sets, Rough Sets, Multisets and Clustering 2017: 63-85 - [c13]Yasunori Endo, Sachiko Ishida, Naohiko Kinoshita, Yukihiro Hamasuna:
On various types of controlled-sized clustering based on optimization. FUZZ-IEEE 2017: 1-6 - [c12]Yasunori Endo, Sachiko Ishida, Naohiko Kinoshita:
Controlled-sized clustering based on optimization. IFSA-SCIS 2017: 1-6 - 2016
- [j8]Yasunori Endo, Tomoyuki Suzuki, Naohiko Kinoshita, Yukihiro Hamasuna:
On Fuzzy Non-Metric Model for Data with Tolerance and its Application to Incomplete Data Clustering. J. Adv. Comput. Intell. Intell. Informatics 20(4): 571-579 (2016) - [j7]Yukihiro Hamasuna, Naohiko Kinoshita, Yasunori Endo:
Comparison of Cluster Validity Measures Based x-Means. J. Adv. Comput. Intell. Intell. Informatics 20(5): 845-853 (2016) - [c11]Yasunori Endo, Tsubasa Hirano, Naohiko Kinoshita, Yukihiro Hamasuna:
On Various Types of Even-Sized Clustering Based on Optimization. MDAI 2016: 165-177 - [c10]Tsubasa Hirano, Yasunori Endo, Naohiko Kinoshita, Sadaaki Miyamoto:
A Note on Even-Sized Clustering Based on Optimization. SCIS&ISIS 2016: 404-409 - 2015
- [j6]Naohiko Kinoshita, Yasunori Endo:
On Objective-Based Rough Hard and Fuzzy c-Means Clustering. J. Adv. Comput. Intell. Intell. Informatics 19(1): 29-35 (2015) - [j5]Akira Sugawara, Yasunori Endo, Naohiko Kinoshita:
On Objective-Based Rough c-Regression. J. Adv. Comput. Intell. Intell. Informatics 19(1): 36-42 (2015) - [j4]Naohiko Kinoshita, Yasunori Endo, Yukihiro Hamasuna:
Fuzzy c-Means with Quadratic Penalty-Vector Regularization Using Kullback-Leibler Information for Uncertain Data. J. Adv. Comput. Intell. Intell. Informatics 19(5): 624-631 (2015) - [j3]Naohiko Kinoshita, Yasunori Endo, Ken Onishi:
On Objective-Based Rough Clustering with Fuzzy-Set Representation. J. Adv. Comput. Intell. Intell. Informatics 19(5): 632-638 (2015) - [j2]Naohiko Kinoshita, Yasunori Endo, Akira Sugawara:
On Hierarchical Linguistic-Based Clustering. J. Adv. Comput. Intell. Intell. Informatics 19(6): 900-906 (2015) - [c9]Yasunori Endo, Tomoyuki Suzuki, Naohiko Kinoshita, Yukihiro Hamasuna, Sadaaki Miyamoto:
Fuzzy non-metric model for data with tolerance and its application to incomplete data clustering. FUZZ-IEEE 2015: 1-7 - 2014
- [c8]Akira Sugawara, Naohiko Kinoshita, Yasunori Endo:
On linguistic-based clustering. GrC 2014: 265-270 - [c7]Ken Onishi, Naohiko Kinoshita, Yasunori Endo:
A Note on Objective-Based Rough Clustering with Fuzzy-Set Representation. MDAI 2014: 122-134 - [c6]Yasunori Endo, Naohiko Kinoshita, Kuniaki Iwakura, Yukihiro Hamasuna:
Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms. MDAI 2014: 145-157 - [c5]Tsubasa Hirano, Yasunori Endo, Naohiko Kinoshita, Yukihiro Hamasuna:
On even-sized clustering algorithm based on optimization. SCIS&ISIS 2014: 495-500 - [c4]Naohiko Kinoshita, Yasunori Endo, Sadaaki Miyamoto:
On Some Models of Objective-Based Rough Clustering. WI-IAT (1) 2014: 392-399 - 2013
- [j1]Yasunori Endo, Naohiko Kinoshita:
Objective-Based Rough c-Means Clustering. Int. J. Intell. Syst. 28(9): 907-925 (2013) - [c3]Naohiko Kinoshita, Yasunori Endo:
EM-Based Clustering Algorithm for Uncertain Data. KSE (2) 2013: 69-81 - [c2]Yasunori Endo, Akira Sugawara, Naohiko Kinoshita:
Rough c-Regression Based on Optimization of Objective Function. MDAI 2013: 272-283 - 2012
- [c1]Yasunori Endo, Naohiko Kinoshita:
On objective-based rough c-means clustering. GrC 2012: 1-6
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